Cross Validation in Machine Learning
What is Cross Validation in Machine Learning? Cross validation in machine learning is a technique used to evaluate the performance of a model and ensure that it generalizes well to unseen data. It is a crucial step in the model development process, aimed at assessing how the outcomes of a statistical analysis will generalize to